In a recent Y Combinator podcast, François Chollet — the creator of Keras, author of Deep Learning with Python, and the mind behind the ARC-AGI benchmark — dropped what might be the clearest, most provocative definition of Artificial General Intelligence we’ve heard in years.
OpenAI just fired a serious shot across Anthropic’s bow. On April 22, 2026, the company quietly launched Workspace Agents in ChatGPT — a new class of Codex-powered, cloud-native agents designed for real business workflows.
In an announcement from Head of Product Nikita Bier, the platform revealed that Communities — the public, interest-based group feeds launched back in 2021 — will be deprecated starting May 6, 2026, with a full shutdown and migration deadline now extended to May 30 after immediate backlash.
OpenAI has officially rolled out ChatGPT Images 2.0, and the tech world is already calling it a step change in generative visuals.
OpenAI has officially launched GPT-5.5 — the latest and most capable model in its flagship series — and it arrives with a clear mission: to move artificial intelligence beyond clever conversation and into the realm of reliable, goal-oriented work.
An LLM is a statistical system trained to predict the next token in a sequence. The surprising part is how far “next token prediction” can go when you scale data, model size, and training compute.
There’s an ancient Indian parable about a wise man who, for a service rendered, asked a powerful king to pay him in rice — placing one grain on the first square of a chessboard, two on the second, four on the third, and doubling the amount with every subsequent square.
Yann LeCun, Meta’s Chief AI Scientist and one of the most respected figures in deep learning, continues his long-standing campaign against the idea that large language models (LLMs) represent the main road to artificial general intelligence.
Nvidia CEO Jensen Huang recently called OpenClaw “the next ChatGPT.” At the time, it sounded like typical tech hype. A few months later, it doesn’t look like hype at all.
Here's a well-structured, engaging English article based on the thread by Ryan Mather (@Flomerboy ) from the Anthropic design team. It covers the fresh launch of Claude Design, its strengths, the main pain point (high token usage during initial setup), and the practical tips from the developers.
NVIDIA has unveiled Lyra 2.0, a new framework that generates persistent, explorable 3D worlds from a single image.
Baidu has just released ERNIE-Image — a new open-weight text-to-image generator that is already turning heads in the AI community.
OpenAI just threw a gauntlet at Anthropic.On April 14, 2026, the company launched GPT-5.4-Cyber — a specialized, cyber-permissive version of GPT-5.4 — and massively scaled its Trusted Access for Cyber (TAC) program.
In early 2024, Swedish medical researcher Almira Osmanovic Thunström from the University of Gothenburg decided to run a brilliantly devious experiment.
Anthropic just dropped Claude Opus 4.7 — and if the early buzz is any indication, this is the most capable Opus model the company has shipped to date.